Role: Data Engineer & Software Developer Tools & Technologies: SQL, Oracle DB, R (Shiny), C#, React Domain: Pharmaceutical / Process Engineering Overview: Led the development of a data-driven application to support process engineering activities in a pharmaceutical setting. The project focused on building robust data pipelines and interactive dashboards to monitor and visualize process flow data, integrating engineering tools and pharma-specific requirements. Key Responsibilities: • Designed and implemented end-to-end data pipelines to extract, transform, and load (ETL) data from Oracle databases using SQL. • Built interactive data applications using R (Shiny) and C#, enabling engineers to analyze and visualize production metrics. • Collaborated closely with process engineers to digitize and represent process flow diagrams, including tank-level monitoring and real-time process data integration. • Developed web-based tools using React for visualizing complex system interactions and process flow. • Ensured data integrity and scalability for pharma-grade applications, complying with relevant quality standards. • Contributed to 80% of the data engineering workload, interfacing with software development and pharma process optimization.